An efficient intra-mode decision method for HEVC

Hong, Seungbeom; Yang, Dezhi; Park, Byungkil; Yu, Sungwook

doi:10.1007/s11760-015-0858-1

Cited by 11 publications

(1 citation statement)

References 12 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In [15], a fast mode decision method that includes adaptive threshold determination was proposed. The introduced scheme that effectively exploits spatial correlation and coding block flag information changed the examination order in [16].…”

Section: Related Workmentioning

confidence: 99%

A Fast Inter Mode Decision Algorithm for HEVC Encode System based on Spatial and Temporal Correlations

Yang¹,

An²,

Zhang³

2019

Int J Performability Eng

View full text Add to dashboard Cite

With the development of video display technology, high efficiency video coding (HEVC) has recently been proposed to optimize the coding efficiency of video encoders, and it has demonstrated great improvements in coding efficiency by using the layered structure of the coding unit (CU), transform unit (TU), and prediction unit (PU). For the purpose of accomplishing the prefect coding efficiency, we must find the best combination of CU, TU, and PU in the situation of the lowest rate distortion (RD) cost, which is time-consuming. Among these CU, TU, and PU, the determination of CU size has the most significant impact on the RD optimization (RDO) of HEVC encoding, which results in a large amount of calculation costs in the operation of PU and TU size determination. Many research works focus on reducing the complexity through fast CU dividing and early skip in the stage of intra-slice coding. We propose a fast inter mode decision algorithm for the HEVC encode system in this paper, and a reformed early CU SKIP detection method constitutes this algorithm. For the current CU block that is being encoded, we use the related spatial coding parameters of CU to evaluate the texture complexity (TC) affecting the CU blocks that are being encoded. In addition, we utilize motion vectors, TU size, and block marking information to gauge the time complication of CU partitions. The proposed method efficiently uses the spatial coding parameters without additional computations. The proposed techniques reduce the encoding time significantly, by up to 47.9%, with an insignificant BD rate increase of about 1.6%.

show abstract

Section: Related Workmentioning

confidence: 99%

A Fast Inter Mode Decision Algorithm for HEVC Encode System based on Spatial and Temporal Correlations

Yang¹,

An²,

Zhang³

2019

Int J Performability Eng

View full text Add to dashboard Cite

show abstract

Multiple Linear Regression Analysis of Factors Affecting the Consumption

Silva

Lezama

Solano

2019

Inventive Computation Technologies

View full text Add to dashboard Cite

Econometrics provides the researchers with methods, theoretical basements, and procedures that allow the formulation and estimation of economic models that explain the study variable during a reference time period, as well as making predictions about the behavior of the studied reality based on the explanatory variables. The entire process, analyzed from econometrics after having formulated and estimated the model, leads to a very important phase: the statistical validation, which helps the researcher to ensure that the model satisfactorily passes a series of tests. These tests will allow the use of the model not just to explain the behavior of the independent variable under study, but to make predictions based on scenarios of occurrence based on those explanatory variables included in the model, offering a theoretical-practical support to formulate policies related to the studied phenomenon. This research aims to generate the first elements to know the private consumption behavior in India in the period from 2012 to 2018

show abstract

Sales Segmentation for a Mobile Phone Service Through Logistic Regression Algorithm

Viloria

Wang

Gaitan

2019

Proceedings of 6th International Conference on Big Data and Cloud Computing Challenges

View full text Add to dashboard Cite

The research aims to describe the CRISP-DM method to identify optimal customer groups that are likely to migrate from a prepaid to postpaid plan in order to formulate an improvement plan in call management by sorting the database. The logistic regression model was applied to analyze the characteristics generated by the purchase of different services. In this sense, groups differentiated by their probability of sales success (migrating from a prepaid to postpaid plan) were found, as segments that reflect needs and characteristics that allow to design marketing actions focused on the objective of increasing the effectiveness, contactability, and sales. Palabras claveCall center, CRISP-DM, Logistic regression model.

show abstract

An efficient intra-mode decision method for HEVC

Cited by 11 publications

References 12 publications

A Fast Inter Mode Decision Algorithm for HEVC Encode System based on Spatial and Temporal Correlations

A Fast Inter Mode Decision Algorithm for HEVC Encode System based on Spatial and Temporal Correlations

Multiple Linear Regression Analysis of Factors Affecting the Consumption

Sales Segmentation for a Mobile Phone Service Through Logistic Regression Algorithm

Contact Info

Product

Resources

About